Computational Models of Cognition: Part 2 (1:03:57)
- Brains, Minds and Machines Summer Course 2018
Josh Tenenbaum, MIT
In this second lecture, Josh Tenenbaum first elaborates on an intuitive physics engine that uses a probabilistic framework combined with inverse graphics, to capture aspects of human understanding of the physical behavior of objects. This physics engine embodies a generative model of the physical world that incorporates uncertainty in a way that enables approximate, intuitive inference and predictions of object behavior. This framework is then used to construct an intuitive psychology engine that enables inferences about the beliefs and desires of other agents, their goals and actions, and social interactions between other agents.